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In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Encharge, triggered by another scenario, or executed manually (for testing purposes). In most cases, Encharge or Moxie will be your first step. To do this, click "Choose an app," find Encharge or Moxie, and select the appropriate trigger to start the scenario.

Select the Encharge node from the app selection panel on the right.

Encharge
Click on the Encharge node to configure it. You can modify the Encharge URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Encharge node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.

Encharge
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Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Moxie
Trigger on Webhook
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Encharge
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Iterator
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Webhook response
After configuring Encharge, Moxie, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Run the scenario by clicking “Run once” and triggering an event to check if the Encharge and Moxie integration works as expected. Depending on your setup, data should flow between Encharge and Moxie (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Encharge + Moxie + Slack: When a lead becomes a customer in Encharge (identified by adding a specific tag), a welcome message is sent via Moxie. The sales team is then notified in a dedicated Slack channel.
Moxie + Encharge + Google Sheets: Log new Moxie chats to Google Sheets. Then, update the user's data in Encharge based on keywords or sentiment detected within the Moxie support interaction. This requires additional tools beyond the scope of the current API, but the core logging function is feasible.
About Encharge
Use Encharge in Latenode to automate personalized marketing. Build workflows that segment leads, trigger email sequences, and update customer profiles based on real-time behavior. Connect Encharge to any data source and use Latenode’s no-code tools or JavaScript to orchestrate sophisticated, event-driven campaigns without complex coding.
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About Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
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How can I connect my Encharge account to Moxie using Latenode?
To connect your Encharge account to Moxie on Latenode, follow these steps:
Can I trigger Encharge emails from new Moxie support tickets?
Yes, you can! Latenode allows you to seamlessly connect Moxie tickets to Encharge, triggering personalized email sequences based on support interactions. Improve engagement and customer satisfaction.
What types of tasks can I perform by integrating Encharge with Moxie?
Integrating Encharge with Moxie allows you to perform various tasks, including:
Can I use custom fields from Encharge within my Moxie workflows?
Yes, Latenode's flexible data mapping allows you to use custom fields from Encharge in Moxie workflows. This enables highly personalized and targeted automations.
Are there any limitations to the Encharge and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: